Instructions to use AnonymousCS/populism_classifier_138 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_138 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_138")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_138") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_138") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 214984e9dbb8876385085e6af417a1e76299e3b8671b9a1dceb4e227ee9cf3e5
- Size of remote file:
- 711 MB
- SHA256:
- d267373f98210b7e34d59c8038d354b4b534301022806a435e8abc294478feed
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